摘要
提出了一种移动网络条件下新的定位方法.该方法基于数据融合技术,对传统Chan算法的定位估计结果进行多层信息融合,使得仅利用多组到达时间差(TDOA)测量数据即可有效地提高移动定位的精度.方法简单实用,特别是在非视线路径(NLOS)干扰条件下,不仅定位精度高,而且显著地降低了定位失败的概率.计算机仿真结果表明,该方法对多种环境都是有效的.
A new positioning method in mobile network is presented. Based on the technology of data fusion, it processes multilayer information fusion for the location estimates by Chan algorithm, which makes mobile positioning accuracy rise effectively by only using measured time difference of arriving (TDOA) signals. The method is simple and practical, especially when the location estimates are corrupted by the non-line-of-sight (NLOS) error. It not only has high positioning accuracy, but also can reduce the location failure probability obviously. Simulated results by computer show that the proposed method is effective in various environments.
出处
《大连理工大学学报》
EI
CAS
CSCD
北大核心
2005年第1期138-141,共4页
Journal of Dalian University of Technology
关键词
移动定位
到达时间差
数据融合
非视线路径
无线通信
Computer simulation
Data processing
Errors
Failure analysis
Location
Mobile computing
